Senior Data Scientist
Core
Build predictive ML models (classification, regression, anomaly detection, clustering) to understand customers, improve user experience, and drive member acquisition/retention for a fintech platform.
Role type
Senior hands-on IC machine learning engineer (fintech)
Builds
Production ML models and monitoring dashboards integrated into customer-facing strategies
Domain
Fintech / Consumer Finance
Deliverable
production ML models
Required skills
Python (Scikit-Learn, XGBoost, TensorFlow, Pytorch), SQL, feature engineering, model selection, A/B testing, statistical analysis, clustering algorithms
Preferred skills
GCP (Vertex AI, Dataflow), dbt, BigQuery, Scala
Technologies
Python, Scikit-Learn, XGBoost, TensorFlow, PyTorch, SQL, GCP, Vertex AI, Dataflow, dbt, BigQuery, Scala
Responsibilities
Design, develop, and deploy predictive classification, regression, and anomaly detection models; conduct EDA and feature engineering; evaluate and optimize model performance; design and execute A/B tests; perform customer segmentation; develop model monitoring dashboards; collaborate with cross-functional teams to integrate models; work with ML Engineering on data pipelines and deployment.
Seniority
Senior, hands-on IC
